Meta AR/VR Job | Research Scientist Intern, CV, AI and Machine Perception (PhD)

Job(岗位): Research Scientist Intern, CV, AI and Machine Perception (PhD)

Type(岗位类型): Computer Vision | Research

Date(发布日期): 2022-12-12


he Reality Labs (RL) Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. The Surreal Vision team is looking for research interns to tackle the most ambitious problems in machine perception.

In this internship, you will not only work on the forefront of research topics present in academia and industry, but beyond you will work with a team invested in building the complete stack from sensor design to state estimation and tracking to 3D reconstruction to novel scene representations.

Our internships are twelve (12) to twenty four (24) weeks long and you have the option to start at various dates throughout the year.


Currently has, or is in the process of obtaining, a PhD in the field of Computer Science, Computer Vision, Machine Learning, Robotics, Physics or related field

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Understanding of statistical analysis of data and mathematical modeling

Understanding of machine learning, artificial intelligence, Bayesian filtering, 3D geometry, optimization, system building, or physics-based simulation

Experience with deep learning frameworks like PyTorch

Experience in C++ or Python

Interpersonal experience: cross-group and cross-culture collaboration


Research, develop and prototype advanced software technologies in the domain of machine perception, machine learning/deep learning based object and scene understanding (e.g., detection, segmentation, recognition) from 2D and/or 3D data

Solve challenging problems in the domain of SLAM, tracking, 3D reconstruction, localization, calibration automation, large scale optimization, state estimation, etc.

Analyze and improve efficiency, accuracy, scalability and stability of currently deployed systems

Design and execution of algorithms

Prototyping, building and analysis of experimental systems

Collaboration with and support of other researchers across various disciplines

Communication of research agenda, progress and results

Additional Requirements(额外要求)

Intent to return to degree-program after the completion of the internship

Experience in machine perception, geometric computer vision, including tracking, visual-inertial odometry, SLAM, graphics, sensor/display calibration, large-scale structure from motion or relocalization technologies

Experience in working with cameras and advance imaging sensors, IMUs, magnetometers, and other sensors that can be used in this context

Experience working on modern deep-learning methods for self-supervised learning, federated learning, video-understanding, GANs, reinforcement learning, graph neural networks, etc.

Broad understanding of the full machine vision pipeline from sensors to high-level algorithms

Experience with privacy-aware algorithms for 3D reconstruction and machine learning

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, BMVC, NeurIPS, ICLR, ICRA, IROS, RSS or SIGGRAPH

Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)